data engineer sr- ST; Nashville, TN
Now Brewing – Data Engineers sr #tobeapartner
From the beginning, Starbucks set out to be a different kind of company. One that not only celebrated coffee and the rich tradition, but that also brought a feeling of connection. We are known for developing extraordinary leaders who share this passion and are guided by their service to others.
As a Data Engineer sr, you’ll build enterprise data services that power analytics and decision-making. You’ll design, develop, test, and support data pipelines that enable continuous data processing for data exploration, preparation, and real-time business analytics—while modeling Starbucks guiding principles.
As a Data Engineer sr, you will…
Build and support highly available data pipelines across batch/distributed and real-time processing to enable analytics at scale.
Translate strategic needs into working solutions by partnering across teams to define requirements, implement data governance and retention practices, and improve standards and reliability.
Drive operational excellence through automation, monitoring, documentation, performance analysis, and root-cause resolution—partnering across peer support groups and vendors as needed.
We’d love to hear from people with\:
Bachelor’s degree in Computer Science, Management Information Systems, or related discipline
2+ years of professional industry experience with software development
Preferred qualifications
5+ years working with SQL platforms
2+ years working with (or strong exposure to) NoSQL platforms
5+ years working with Spark and/or the Hadoop ecosystem (e.g., Hadoop, YARN, MapReduce, Pig, Hive)
1+ years implementing data platforms on Azure or AWS (advanced scope may align to 2+ years)
1+ years experience with CI/CD tools and practices (advanced scope may align to 2+ years)
2+ years exposure to SOA architecture and service integration patterns
Proficiency in Java, Scala, or C#, plus strong debugging, troubleshooting, and performance tuning
Proficiency in shell scripting, logging/monitoring patterns, and enterprise deployment best practices
Experience productionalizing big data implementations (advanced scope may include multiple implementations)
Familiarity with Tableau (or similar) is a plus
Demonstrated ability to mentor others and operate effectively in Agile/DevOps environments